
\begin{table}
\begin{center}
\begin{tabular}{l D{)}{)}{8)2} D{)}{)}{9)3} D{)}{)}{8)2} D{)}{)}{9)0} D{)}{)}{9)1}}
\toprule
 & \multicolumn{1}{c}{Care} & \multicolumn{1}{c}{Fairness} & \multicolumn{1}{c}{Loyalty} & \multicolumn{1}{c}{Authority} & \multicolumn{1}{c}{Sanctity} \\
\midrule
GAL-TAN (CHES)           & 0.07 \; (0.08)      & -0.41 \; (0.08)^{***} & 0.24 \; (0.08)^{**} & -0.01 \; (0.10) & 0.23 \; (0.10)^{*} \\
Year                     & 0.23 \; (0.08)^{**} & 0.05 \; (0.08)        & 0.07 \; (0.08)      & 0.09 \; (0.11)  & -0.03 \; (0.11)    \\
Government Participation & 0.39 \; (0.16)^{*}  & -0.20 \; (0.16)       & 0.21 \; (0.16)      & -0.15 \; (0.22) & -0.42 \; (0.22)    \\
\midrule
AIC                      & 189.97              & 184.12                & 189.08              & 228.70          & 230.74             \\
BIC                      & 204.33              & 198.49                & 203.45              & 243.06          & 245.10             \\
Log Likelihood           & -88.98              & -86.06                & -88.54              & -108.35         & -109.37            \\
Num. manifestos          & 81                  & 81                    & 81                  & 81              & 81                 \\
Num. groups: countries   & 7                   & 7                     & 7                   & 7               & 7                  \\
Var: Country (Intercept) & 0.48                & 0.30                  & 1.11                & 0.45            & 0.16               \\
Var: Residual            & 0.40                & 0.38                  & 0.37                & 0.69            & 0.75               \\
\bottomrule
\multicolumn{6}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Regression table for all English-translated manifestos, scored with MFD2 for the dimension Virtue.}
\label{tab:app_reg_trans_mfd2_virtue}
\end{center}
\end{table}
